AntennaCAT：基于机器学习辅助优化的自动天线设计[开源]

IF 5.7 4区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Antennas and Propagation Magazine Pub Date : 2025-07-02 DOI:10.1109/MAP.2025.3560851

Lauren Linkous;Johnathan Lundquist;Michael John Suche;Erdem Topsakal

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引用次数: 0

摘要

随着天线设计研究发展到更先进的技术，CAD模型的反复手工编辑是实现全自动优化的最后一个费力的障碍。在本文中，我们介绍天线计算和自动调谐工具（AntennaCAT），它旨在降低进入高级天线设计和优化的门槛，同时增加实验过程的可重复性。AntennaCAT是一个开源软件，可以自动化设计、仿真和优化过程。它与多个电磁（EM）仿真软件套件兼容，包括HFSS， CST和FEKO，并包括用于多参数天线设计问题的集成优化器。讨论了机器学习（ML）的设计、数据收集和解释的主要软件功能，内部模拟集成优化器及其ML辅助超参数调优，以及对复制研究的意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AntennaCAT: Automated antenna design with machine learning-assisted optimization [Open Source]

As antenna design research progresses into more advanced techniques, recurrent manual editing of CAD models is one of the last, laborious obstacles for fully automated optimization. In this article we present AntennaCAT (Antenna Calculation and Autotuning Tool), which is designed to lower the barrier to entry for advanced antenna design and optimization while increasing the repeatability of the experimental process. AntennaCAT is open source software that automates the design, simulation, and optimization processes. It is compatible with multiple electromagnetic (EM) simulation software suites, including HFSS, CST, and FEKO, and includes integrated optimizers popular for multiparameter antenna design problems. Discussed are major software features for design, data collection and interpretation for machine learning (ML), internal simulation-integrated optimizers and their ML assisted hyperparameter tuning, and significance for replication studies.

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来源期刊

IEEE Antennas and Propagation Magazine 工程技术-工程：电子与电气

CiteScore

7.00

自引率

5.70%

发文量

186

审稿时长

3 months

期刊介绍： IEEE Antennas and Propagation Magazine actively solicits feature articles that describe engineering activities taking place in industry, government, and universities. All feature articles are subject to peer review. Emphasis is placed on providing the reader with a general understanding of either a particular subject or of the technical challenges being addressed by various organizations, as well as their capabilities to cope with these challenges. Articles presenting new results, review, tutorial, and historical articles are welcome, as are articles describing examples of good engineering. The technical field of interest of the Magazine is the same as the IEEE Antennas and Propagation Society, and includes the following: antennas, including analysis, design, development, measurement, and testing; radiation, propagation, and the interaction of electromagnetic waves with discrete and continuous media; and applications and systems pertinent to antennas, propagation, and sensing, such as applied optics, millimeter- and sub-millimeter-wave techniques, antenna signal processing and control, radio astronomy, and propagation and radiation aspects of terrestrial and space-based communication, including wireless, mobile, satellite, and telecommunications.